Whenever more than one target exist, the most important problem is associating the received signals to the correct targets. This problem appears for all multiple target applications such as multiple target tracking and it is known as "Data Association". For frequency-based systems, Multiple-Input Multiple-Output (MIMO) configuration together with the frequency diversity of the system enable us to determine the number of moving targets by using the Doppler frequencies. These frequencies include all relevant information about the location, velocity and direction of the targets and hence, they can be used efficiently to estimate the other unknown target parameters
Target localization and the velocity estimation methods are proposed for frequency-only MIMO Radar w...
We develop and analyze signal processing algorithms to detect, estimate, and track targets using mul...
A passive radar systems opportunistic ability to exploit ambient radio signal reflections makes it i...
The multiple target localization using only Doppler frequencies in Multiple-Input Multiple-Output (M...
This dissertation is focused on developing the new target localization and the target velocity estim...
Tracking many targets simultaneously using a search radar has been one of the major research areas i...
A new approach is described for combining range and Doppler data from multiple radar platforms to pe...
Tracking in multi senor multi target (MSMT)scenario is a complex problem due to the uncertainties in...
[[abstract]]Data association plays an important role in radar tracking algorithm .The problem of tra...
This dissertation work deals with parameter estimation and data association for tracking multiple ta...
Frequency-based localization methods are widely used to find emitter locations. Several techniques a...
The central theme of this research is how to track the motion of one or more moving targets using no...
Tracking on multi-sensor multi-target (MSMT) scenario is a complex and difficult tasks due to the un...
Abstract- In tracking a single target in clutter, many algorithms have been developed ranging in com...
One of the major problems in multiple target tracking is to ob-tain an accurate association between ...
Target localization and the velocity estimation methods are proposed for frequency-only MIMO Radar w...
We develop and analyze signal processing algorithms to detect, estimate, and track targets using mul...
A passive radar systems opportunistic ability to exploit ambient radio signal reflections makes it i...
The multiple target localization using only Doppler frequencies in Multiple-Input Multiple-Output (M...
This dissertation is focused on developing the new target localization and the target velocity estim...
Tracking many targets simultaneously using a search radar has been one of the major research areas i...
A new approach is described for combining range and Doppler data from multiple radar platforms to pe...
Tracking in multi senor multi target (MSMT)scenario is a complex problem due to the uncertainties in...
[[abstract]]Data association plays an important role in radar tracking algorithm .The problem of tra...
This dissertation work deals with parameter estimation and data association for tracking multiple ta...
Frequency-based localization methods are widely used to find emitter locations. Several techniques a...
The central theme of this research is how to track the motion of one or more moving targets using no...
Tracking on multi-sensor multi-target (MSMT) scenario is a complex and difficult tasks due to the un...
Abstract- In tracking a single target in clutter, many algorithms have been developed ranging in com...
One of the major problems in multiple target tracking is to ob-tain an accurate association between ...
Target localization and the velocity estimation methods are proposed for frequency-only MIMO Radar w...
We develop and analyze signal processing algorithms to detect, estimate, and track targets using mul...
A passive radar systems opportunistic ability to exploit ambient radio signal reflections makes it i...